B.E. Artificial Intelligence
and Machine Learning (AI & ML)

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Only an institution which offers to students a conducive atmosphere for learning, a good infrastructure and excellent facilities, can boast for a good Placement record. Our students can nurture their skills and develop creativity with the help of the facilities we provide.

Some of the highlights of our facilities:

  • AI and Machine Learning Lab unit for practical exposure, where students can give shape to their ideas and innovations.
  • A fully equipped library that offers vast collections of e-journals, research papers and text e-books.
  • Students can avail the DELNET and NDL links to access huge volumes of resources.
  • Classrooms and labs equipped with ICT facilities.
  • A well-connected internet system with fully operational desktops, hardware and licensed software systems.

The IA Department also conducts Quizzes, Seminars and Workshops from time to time, to enable students to acquire knowledge ‘beyond the textbook’ and get opportunities to learn from experienced Engineers. Eminent personalities from both Academia as well as Industry are invited to address the students on various topics related to technological advances in the AI field. This ensures that our students get the extra edge.

Data Structures Lab
The course is designed to develop skills to design and analyze simple linear and non linear data structures. It strengthen the ability to the students to identify and apply the suitable data structure for the given real world problem. It enables them to gain knowledge in practical applications of data structures
Python is a programming language, basically a very high-level and a general-purpose language. The design is such that it lays emphasis on code readability with the use of significant indentation. The language used in python helps construct an object-oriented approach with the aim to help the programmers write clear and logical codes for small and large-scale Products.

The data communication network (DCN) lab supports teaching and research work in the field of data communications. In this lab students learn about RS 232 and its usage. Data transmission protocols such as ALOHA, CSMA, token ring, token BUS, CSMA/CA and CSMA/CD are implemented for packet communication between nodes connected to a common BUS. Students also implement the token passing access method for BUS and RING LAN. Ethernet controlling and switching technology are also studied.

In this lab, students implement the transmission protocols on LAN trainer system. Computers are available and configured as host and nodes to implement and study various LAN topologies like BUS, DUAL BUS, RING, STAR topologies. This lab is also equipped with serial and parallel communication systems. Stop and wait, Go and Back and selective/repeat protocols are also implemented for LAN.

Network simulator (NS2) software are installed on computers to simulate and analyse various network entities. . Researchers may use these tools for planning and testing the behaviour of the of physical communication networks.

 The main objective is that students develop skills in the design and analysis of algorithms in order to solve real-world problems effectively and efficiently according to the requirements established by a potential client.

Therefore it is expected that at the end of the course the students will know:

  • Formally specify problems and programs, and verify them.
  • Use formal tests to validate programs and invariants to design based on contracts.
  • Calculate the algorithmic and computational complexity of an algorithm.

Web Technologies Lab enables students to develop skills in building modern web applications. Through practical exercises and projects, students gain proficiency in HTML, CSS, JavaScript, and frameworks like React or Angular. This lab fosters creativity, problem-solving, and collaboration, preparing students for careers in web development and user interface design. This lab equips students with the skills to create engaging and interactive web experiences.

 The objective of the Machine Learning Lab is to provide students with hands-on experience and practical exposure to various machine learning concepts, algorithms, and techniques. the Machine Learning Lab aims to empower students with the necessary skills, expertise, and mindset to become proficient practitioners and innovators in the field of machine learning. The Lab facilitates database designing and management through dedicated tools such as Oracle, and MySQL and related computing paradigm and frameworks.

Machine learning, reinforcement learning, deep learning. Technology with great potential has many areas, we have experience with the many sub-branches of artificial intelligence — and using AI with the latest camera and robot technology, regardless of whether the robot has arms, legs, wheels or wings.

We do this because artificial intelligence is an important technological catalyst for the robots of the future.

Where we have previously seen robots that “simply” move around among people, in the future we will increasingly experience robots in direct interaction with people and their environment. This interaction requires a link between the robot’s ability to handle objects and its ability to understand and navigate the physical (and changing!) environment.

Artificial intelligence thus paves the way for autonomous robots which become better and better at understanding, analysis and making independent, secure decisions.

If you step into the factory, artificial intelligence still has infinite potential as a tool to improve products and processes in the manufacturing industry – whether it is about catching irregularities, digitizing quality control or adjusting production parameters without interrupting production.